AMD vs Oracle

An open-source reference stack for running enterprise AI workloads at scale on AMD compute: open-source AI frameworks and generative models connected to an enterprise-ready Kubernetes platform, with AMD Inference Microservices — prebuilt inference containers bundling model, engine and optimised configuration for AMD hardware.

Open-source GPU computing stack of compilers, runtimes and libraries for running AI and HPC workloads on AMD hardware.

A development stack of compiler, runtime and tools for porting pretrained models onto the NPU and integrated GPU of Ryzen AI processors.

An open-source AI inference development stack of compiler, optimised NPU IP and runtime for deploying deep-learning models on AMD adaptive SoCs, FPGAs and Alveo cards.

A rack-scale AI system combining 72 Instinct MI455X GPUs with EPYC CPUs and Pensando networking for frontier-model training and large-scale inference.

Data-centre GPU accelerators for training and serving models, sold in OEM servers and rack systems.

System-on-module family for deploying edge and physical AI, with production SOMs and partner-validated carrier systems.

AI NIC family (Pollara 400 at 400 Gbps, Vulcano 800 at 800 Gbps Ethernet) for scale-out inter-GPU communication in AI training and inference clusters, built on the Ultra Ethernet Consortium specification.

Data processing unit family (Salina, Giglio) offloading networking, security and storage services from host CPUs in AI data centres, programmable via the P4-based Pensando software stack.

Adaptive SoC/FPGA family for AI inference and adaptive compute workloads.

Second-generation Versal AI Edge adaptive SoC family for embedded AI preprocessing, inference and postprocessing.

Low-code/pro-code platform to design, configure, test and deploy AI agents natively within Oracle Fusion Cloud Applications, with pre-built templates, multi-agent orchestration and document/RAG support across ERP, HCM, SCM and CX.

Agent that automates clinical documentation, coding, dictation and chart review for physicians inside Oracle Health's EHR platform.

Service that extracts text, tables and structured fields from documents via API and CLI.

Natural-language API for sentiment analysis, entity recognition, text classification and translation, billed per 1,000 transactions or per dedicated inferencing unit-hour.

Service that transcribes speech to text and synthesises text to speech, billed per transcription hour.

Image-analysis API for object detection, OCR and custom vision model training, billed per 1,000 transactions or per processed video minute.

Oracle's platform for building, deploying and governing production AI agents with managed foundation-model access, enterprise data retrieval and workflow orchestration.

Platform for building conversational chatbots and voice interfaces for business applications, billed per 1,000 requests.

Managed platform for building, training and deploying machine-learning models with notebooks, GPU-backed training and MLOps pipelines.

Self-managing Oracle database with built-in vector search and model calls over the data it stores.

Oracle Cloud service that serves models from Cohere, Meta, xAI, Google and OpenAI behind one API, with fine-tuning and dedicated clusters.